activity
20032023
most citedOrdering-Based Causal Structure Learning in the Presence of Latent Variables

10 citations · 30 across the 19 of their papers we have counts for

collaborators

27 papers

math.CO2023

Matroid lifts and representability

Daniel Irving Bernstein, Zach Walsh

A 1965 result of Crapo shows that every elementary lift of a matroid can be constructed from a linear class of circuits of . In a recent paper, Walsh generalized this constr…

math.ST2023

Maximum likelihood thresholds of generic linear concentration models

Daniel Irving Bernstein, Steven J. Gortler, Louis Theran

The maximum likelihood threshold of a statistical model is the minimum number of datapoints required to fit the model via maximum likelihood estimation. In this paper we determine…

math.CO2022★ 3 cited

Computing maximum likelihood thresholds using graph rigidity

Daniel Irving Bernstein, Sean Dewar, Steven J. Gortler +3

The maximum likelihood threshold (MLT) of a graph is the minimum number of samples to almost surely guarantee existence of the maximum likelihood estimate in the corresponding…

math.MG2021

is fully reconstructible in

Daniel Irving Bernstein, Steven J. Gortler

A graph is fully reconstructible in if the graph is determined from its -dimensional measurement variety. The full reconstructibility problem has been solved…

math.CO2021★ 2 cited

Maximum likelihood thresholds via graph rigidity

Daniel Irving Bernstein, Sean Dewar, Steven J. Gortler +3

The maximum likelihood threshold (MLT) of a graph is the minimum number of samples to almost surely guarantee existence of the maximum likelihood estimate in the corresponding…

math.CO2020

Generic symmetry-forced infinitesimal rigidity: translations and rotations

Daniel Irving Bernstein

We characterize the combinatorial types of symmetric frameworks in the plane that are minimally generically symmetry-forced infinitesimally rigid when the symmetry group consists o…